İstanbul örneğinde K-Means Kümeleme Algoritması Kullanılarak Nüfus Yoğunluğu, LULC Değişimi ve Bölgeler Arası Benzerliklerin Tespiti

Year 2024, Volume: 9 Issue: 1, 69 - 86, 30.07.2024

Selvinaz Gülçin Bozkurt , Lütfiye Kuşak

https://doi.org/10.30785/mbud.1333925

Abstract

Bu çalışmada Coğrafi Bilgi Sistemi (CBS) teknolojileri kullanarak, 1990-2018 yılları için üretilen CORINE Arazi Örtüsü (CLC) veri setinden ve nüfus bilgilerinden yararlanarak İstanbul’da kentsel saçaklanmanın arazi değişimi üzerindeki etkisi incelenmiştir. Buna göre; çalışma alanında kentsel saçaklanmanın nüfus artışına bağlı olarak arttığı özellikle endüstri birimleri, şehir yapısı, maden ve inşaat sahalarının yaklaşık % 9 oranında artış gösterdiği buna karşılık makilik alanlar, ekilebilir, karışık tarım alanları ve ormanlık alanların % 9 oranında azaldığı tespit edilmiştir. K-means uygulamasına göre 1990 ve 2018 yıllarında ilçelerdeki benzerlikler ortaya çıkarılmıştır. Elde edilen sonuçlara göre 1990’lı yıllarda benzer özellikler gösteren kümelerde bulunan ilçelerin zamanla değişim gösterdiği ve farklı kümeler içerisinde yer aldığı tespit edilmiştir. Sonuç olarak çalışmada İstanbul’da nüfus artışına bağlı olarak kentsel saçaklanmanın daha fazla artacağı öngörülmüştür.

Keywords

Kentleşme, kentsel gelişme, doğal alanlar, koruma, İstanbul

Detection of Population Density, LULC Variation and Cross-Regional Similarities Using K-Means Clustering Algorithm in Istanbul Example

Abstract

In this study, the effect of urban sprawl on land change in Istanbul was examined using Geographic Information System (GIS) technologies and the CORINE Land Cover (CLC) data set produced for the years 1990-2018 and population information. According to this; It has been determined that urban sprawl in the study area has increased due to population growth, especially industrial units, city structures, mines and construction sites have increased by approximately 9%, while maquis areas, arable, mixed agricultural areas and forest areas have decreased by 9%. According to the K-means application, similarities in the districts were revealed between 1990 and 2018. According to the results obtained, it was determined that the districts that were in clusters with similar characteristics in the 1990s changed over time and were located in different clusters. As a result, it is predicted in the study that urban sprawl will increase further due to population growth in Istanbul.

Keywords

Urbanization, urban development, natural areas, conservation, Istanbul

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